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About the University Admissions Academics Research Campus Life Japanese MENU Contact Us Access About the University Admissions Academics Research Campus Life Contact Us Access HOMENewsPCA-based unsupervised feature extraction for gene expression analysis of COVID-19 patients PCA-based unsupervised feature extraction for gene expression analysis of COVID-19 patients Research Contents August 30,2021 PCA-based unsupervised feature extraction for gene expression analysis of COVID-19 patients ＜Dissertation information＞（1）Title：PCA-based unsupervised feature extraction for gene expression analysis of COVID-19 patients（2）Journal：Scientific Reports（3）Author：Kota Fujisawa, Mamoru Shimo, Y-h. Taguchi, Shinya Ikematsu, and Ryota Miyata*（4）DOI : 1038/s41598-021-95698-w 表1：本研究で特定したCOVID-19関連遺伝子群123個。 PrevTo ListNext Related articles Research Contents September 22,2021 Area-based conservation planning in Japan: The importance of OECMs in the post-2020 Global Biodiversity Framework Research Contents October 6,2020 A 3D Microfabricated Scaffold System for Unidirectional Cell Migration Research Contents March 17,2021 Phosphate bound to calcareous sediments hamper skeletal development of juvenile coral Copyright(C)1997-2024 UNIVERSITY OF THE RYUKYUS 1 Senbaru, Nishihara-cho, Nakagami-gun, Okinawa, 903-0213 Japan